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RECORD SUMMARY ocds-0ud2q6-COL-715-2

Total amount

1,200

Number of contracts

Buying unit

Delegación Colima belonging to Instituto Mexicano del Seguro Social at level region (desconocido)

PLANNING

No data

CALL FOR TENDERS

Government agency

Instituto Mexicano del Seguro Social

Level of government

region (desconocido)

Buying unit

Delegación Colima

Call type

Compra emergente en unidades de servicio (direct)

AWARDS AND CONTRACTS

Awarded contract code 3592195

Title

View contract

Supplier(s)

GUTIERREZ YANEZ LEOPOLDO (RFC: GUYL7006204V4)

Amount

1,200 pesos mexicanos

Execution period

25 de agosto de 2009 to 25 de agosto de 2009

Official documents

See awardNotice 1 on official site compras.imss.gob.mx

IMPLEMENTATION

No data

GENERAL INFORMATION

Source(s)

comprasimss

Part of the project

Salud, Dinero y Corrupción

Organization responsible for the import

PODER

Note: CSV download is temporarily disabled due to the server migration. Please use the JSON format to import the data.

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R (json)

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                        library(rjson) 

                        #Read JSON data into R  

                        data <- fromJSON(file="http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-COL-715-2")

Python (json)

Add this to your code:


                        import json, urllib 


                        #Read JSON data into python  

                        response = urllib2.urlopen('http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-COL-715-2')   

                        data = json.loads(response.read())

Python (pandas, json)

Add this to your code:


                        import pandas as pd 


                        #Read JSON data into pandas  

                        df = pd.read_json('http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-COL-715-2')

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RECORD SUMMARY ocds-0ud2q6-COL-715-2

PLANNING

CALL FOR TENDERS

AWARDS AND CONTRACTS

IMPLEMENTATION

GENERAL INFORMATION

Import and use data

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